Is Bigquery Ml Utils Safe?

Bigquery Ml Utils — Nerq Trust Score 63.0/100 (C+ grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-03-30.

Use Bigquery Ml Utils with some caution. Bigquery Ml Utils is a Python package with a Nerq Trust Score of 63.0/100 (C+), based on 3 independent data dimensions. It is below the recommended threshold of 70. Security: 90/100. Popularity: 30/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-30. Machine-readable data (JSON).

Is Bigquery Ml Utils safe?

CAUTION — Bigquery Ml Utils has a Nerq Trust Score of 63.0/100 (C+). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.

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What is Bigquery Ml Utils's trust score?

Bigquery Ml Utils has a Nerq Trust Score of 63.0/100, earning a C+ grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.

Security
90
Popularity
30

What are the key security findings for Bigquery Ml Utils?

Bigquery Ml Utils's strongest signal is security at 90/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.

Security score: 90/100 (strong)
Popularity: 30/100 — community adoption

What is Bigquery Ml Utils and who maintains it?

AuthorGoogle Inc.
Categorypypi
SourceN/A

Bigquery Ml Utils Across Platforms

Same developer/company in other registries:

Google Spotlight Stories: Back to the Moon
56/100 · steam
Google Spotlight Stories: Rain or Shine
56/100 · steam
Google Spotlight Stories: Pearl
56/100 · steam
Google Spotlight Stories: Age of Sail
56/100 · steam
Grpc.Gcp
53/100 · nuget

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Safety Guide: Bigquery Ml Utils

What is Bigquery Ml Utils?

Bigquery Ml Utils is a Python package — BigQuery ML Utils.

How to Verify Safety

Run pip audit or safety check. Review on PyPI for download stats.

You can also check the trust score via API: GET /v1/preflight?target=bigquery-ml-utils

Key Safety Concerns for Python packages

When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.

Trust Assessment

Bigquery Ml Utils has a Nerq Trust Score of 63/100 (C+) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.

Key Takeaways

Frequently Asked Questions

Is Bigquery Ml Utils safe to use?
Use with some caution. bigquery-ml-utils has a Nerq Trust Score of 63.0/100 (C+). Strongest signal: security (90/100). Score based on security (90/100), popularity (30/100).
What is Bigquery Ml Utils's trust score?
bigquery-ml-utils: 63.0/100 (C+). Score based on: security (90/100), popularity (30/100). Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=bigquery-ml-utils
What are safer alternatives to Bigquery Ml Utils?
In the pypi category, more Python packages are being analyzed — check back soon. bigquery-ml-utils scores 63.0/100.
Does Bigquery Ml Utils have known vulnerabilities?
Nerq checks Bigquery Ml Utils against NVD, OSV.dev, and registry-specific vulnerability databases. Current security score: 90/100. Run your package manager's audit command for the latest findings.
How actively maintained is Bigquery Ml Utils?
Bigquery Ml Utils has a trust score of 63.0/100 (C+). Below Nerq Verified threshold — conduct additional review.
API: /v1/preflight Trust Badge API Docs

Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.